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    Evaluations of Mesoscale Models' Simulations of Near-Surface Winds, Temperature Gradients, and Mixing Depths

    Source: Journal of Applied Meteorology:;2001:;volume( 040 ):;issue: 006::page 1095
    Author:
    Hanna, Steven R.
    ,
    Yang, Ruixin
    DOI: 10.1175/1520-0450(2001)040<1095:EOMMSO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Mesoscale meteorological models are being used to provide inputs of winds, vertical temperature and stability structure, mixing depths, and other parameters to atmospheric transport and dispersion models. An evaluation methodology is suggested and tested with simulations available from four mesoscale meteorological models (Fifth-Generation Pennsylvania State University?National Center for Atmospheric Research Mesoscale Model, Regional Atmospheric Modeling System, Coupled Ocean?Atmosphere Mesoscale Prediction System, and Operational Multiscale Environmental Model with Grid Adaptivity). These models have been applied by others to time periods of several days in three areas of the United States (Northeast, Lake Michigan area, and central California) and in Iraq. The authors' analysis indicates that the typical root-mean-square error (rmse) of hourly averaged surface wind speed is found to be about 2?3 m s?1 for a wide range of wind speeds for the models and for the geographic regions studied. The rmse of surface wind direction is about 50° for wind speeds of about 3 or 4 m s?1. It is suggested that these uncertainties in wind speeds and directions are primarily due to random turbulent processes that cannot be simulated by the models and to subgrid variations in terrain and land use, and therefore it is unlikely that the errors can be reduced much further. Model simulations of daytime mixing depths are shown to be often within 20% of observations. However, the models tend to predict weaker inversions than are observed in interfacial layers capping the mixing depth. The models also underestimate the vertical temperature gradients in the lowest 100 m during the nighttime, which implies that the simulated boundary layer stability is not as great as that observed, suggesting that the rate of vertical dispersion may be overestimated. The models would be able to simulate better the structure of shallow inversions if their vertical grid sizes were smaller.
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      Evaluations of Mesoscale Models' Simulations of Near-Surface Winds, Temperature Gradients, and Mixing Depths

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4148411
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    • Journal of Applied Meteorology

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    contributor authorHanna, Steven R.
    contributor authorYang, Ruixin
    date accessioned2017-06-09T14:07:55Z
    date available2017-06-09T14:07:55Z
    date copyright2001/06/01
    date issued2001
    identifier issn0894-8763
    identifier otherams-13008.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148411
    description abstractMesoscale meteorological models are being used to provide inputs of winds, vertical temperature and stability structure, mixing depths, and other parameters to atmospheric transport and dispersion models. An evaluation methodology is suggested and tested with simulations available from four mesoscale meteorological models (Fifth-Generation Pennsylvania State University?National Center for Atmospheric Research Mesoscale Model, Regional Atmospheric Modeling System, Coupled Ocean?Atmosphere Mesoscale Prediction System, and Operational Multiscale Environmental Model with Grid Adaptivity). These models have been applied by others to time periods of several days in three areas of the United States (Northeast, Lake Michigan area, and central California) and in Iraq. The authors' analysis indicates that the typical root-mean-square error (rmse) of hourly averaged surface wind speed is found to be about 2?3 m s?1 for a wide range of wind speeds for the models and for the geographic regions studied. The rmse of surface wind direction is about 50° for wind speeds of about 3 or 4 m s?1. It is suggested that these uncertainties in wind speeds and directions are primarily due to random turbulent processes that cannot be simulated by the models and to subgrid variations in terrain and land use, and therefore it is unlikely that the errors can be reduced much further. Model simulations of daytime mixing depths are shown to be often within 20% of observations. However, the models tend to predict weaker inversions than are observed in interfacial layers capping the mixing depth. The models also underestimate the vertical temperature gradients in the lowest 100 m during the nighttime, which implies that the simulated boundary layer stability is not as great as that observed, suggesting that the rate of vertical dispersion may be overestimated. The models would be able to simulate better the structure of shallow inversions if their vertical grid sizes were smaller.
    publisherAmerican Meteorological Society
    titleEvaluations of Mesoscale Models' Simulations of Near-Surface Winds, Temperature Gradients, and Mixing Depths
    typeJournal Paper
    journal volume40
    journal issue6
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(2001)040<1095:EOMMSO>2.0.CO;2
    journal fristpage1095
    journal lastpage1104
    treeJournal of Applied Meteorology:;2001:;volume( 040 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian